4.6 Article

Multi-scale modelling predicts plant stem bending behaviour in response to wind to inform lodging resistance

Journal

ROYAL SOCIETY OPEN SCIENCE
Volume 10, Issue 1, Pages -

Publisher

ROYAL SOC
DOI: 10.1098/rsos.221410

Keywords

finite-element method; multi-scale material model; oat; wheat; wind; lodging

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Lodging poses challenges to the successful cultivation of cereal crops. A unique collaboration among disciplines of plant science, modelling and simulations, and experimental fluid dynamics was conducted to breed lodging resilient wheat and oat. Wind tunnel experiments were run to measure the stem bending behavior of both cereals and a finite-element simulation framework was created to predict their mechanical response. This framework revealed the multi-scale origin of the observed differences in stem strength of both cereals.
Lodging impedes the successful cultivation of cereal crops. Complex anatomy, morphology and environmental interactions make identifying reliable and measurable traits for breeding challenging. Therefore, we present a unique collaboration among disciplines for plant science, modelling and simulations, and experimental fluid dynamics in a broader context of breeding lodging resilient wheat and oat. We ran comprehensive wind tunnel experiments to quantify the stem bending behaviour of both cereals under controlled aerodynamic conditions. Measured phenotypes from experiments concluded that the wheat stems response is stiffer than the oat. However, these observations did not in themselves establish causal relationships of this observed behaviour with the physical traits of the plants. To further investigate we created an independent finite-element simulation framework integrating our recently developed multi-scale material modelling approach to predict the mechanical response of wheat and oat stems. All the input parameters including chemical composition, tissue characteristics and plant morphology have a strong physiological meaning in the hierarchical organization of plants, and the framework is free from empirical parameter tuning. This feature of our simulation framework reveals the multi-scale origin of the observed wide differences in the stem strength of both cereals that would not have been possible with purely experimental approach.

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